Tang Arthur, Li Kin-Kit, Han SeungHee, Kwok Kin On, Tung Neo, Tam Wilson
College of Computing and Informatics, Sungkyunkwan University, Suwon, South Korea.
Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong Special Administrative Region, China.
J Nurs Scholarsh. 2023 Mar;55(2):477-483. doi: 10.1111/jnu.12827. Epub 2022 Oct 12.
INTRODUCTION: Research impact and influence are commonly measured quantitatively by citation count received by research articles. Many institutes also use citation count as one of the factors in faculty performance appraisal and candidate selection of academic positions. Various strategies were recommended to amplify and accelerate research influence, particularly citation counts, by bringing research articles to a wider reach for potential readers. However, no prior empirical study was conducted to examine and valid effects of those strategies on nursing studies. This study examines and verifies the direct effects and mediation effects of some strategies, namely, the use of Twitter, international collaboration, the use of ResearchGate, and open access publishing, for amplifying the citation of research and review articles in nursing studies. DESIGN: Cross-sectional study design. METHODS: Articles published in top nursing journals in 2016 were identified in PUBMED and the citation metrics for individual articles until 2021 were extracted from Scopus. The primary outcome was the citation count of the article, while the tweet count on Twitter of the article was considered a mediator. The predictors included paper type, the total number of authors, the proportion of authors with a ResearchGate account in the article, funding support, open-accessed article, and the number of different countries stated in the authors' affiliation. A mediation analysis was conducted to examine the predictors' direct and indirect effects (i.e., via tweet count) on the citation count of the article. RESULTS: A total of 2210 articles were included in this study, of which 223 (10.1%) were review articles. The median (IQR) number of Scopus citations, tweets, countries, and percentage of authors with ResearchGate accounts were 12 (6-21), 2 (0-6), 1 (1-1), and 75% (50%-100%) respectively. In the mediation analysis, tweet count, article type, number of countries, percentage of authors with a ResearchGate account, and journal impact factors in 2014 were positively associated with the Scopus citation count. The effects of article type, open access, and journals' impact factors in 2014 on Scopus citation count were mediated by the tweet count. CONCLUSION: This study provides empirical support for some strategies researchers may employ to amplify the citation count of their research articles. The methodology of our study can be extended to compare research influence between entities (e.g., across countries or institutes). CLINICAL RELEVANCE: The citation refers to the research work cited by peers and is one of the indicators for research impact. Higher citations implied the research work is read and used by others, therefore, understanding the associated factors with higher citations is critical.
引言:研究影响力通常通过研究论文的被引频次进行定量衡量。许多机构还将被引频次作为教师绩效考核和学术职位候选人选拔的因素之一。人们推荐了各种策略来扩大和加速研究影响力,特别是被引频次,通过让研究论文被更多潜在读者获取。然而,此前没有实证研究来检验这些策略对护理研究的实际效果。本研究检验并验证了一些策略,即使用推特、国际合作、使用ResearchGate以及开放获取出版,对护理研究中研究论文和综述论文被引频次的直接影响和中介作用。 设计:横断面研究设计。 方法:在PUBMED中识别出2016年发表在顶级护理期刊上的文章,并从Scopus中提取各篇文章截至2021年的引用指标。主要结果是文章的被引频次,而文章在推特上的推文数被视为一个中介变量。预测变量包括论文类型、作者总数、文章中拥有ResearchGate账户的作者比例、资金支持、开放获取文章以及作者所属机构中列出的不同国家数量。进行中介分析以检验预测变量对文章被引频次的直接和间接影响(即通过推文数)。 结果:本研究共纳入2210篇文章,其中223篇(10.1%)为综述文章。Scopus被引频次、推文数、国家数量以及拥有ResearchGate账户的作者百分比的中位数(四分位间距)分别为12(6 - 21)、2(0 - 6)、1(1 - 1)和75%(50% - 100%)。在中介分析中,推文数、文章类型、国家数量、拥有ResearchGate账户的作者百分比以及2014年的期刊影响因子与Scopus被引频次呈正相关。文章类型、开放获取以及2014年期刊影响因子对Scopus被引频次的影响通过推文数起中介作用。 结论:本研究为研究人员可能采用的一些扩大其研究论文被引频次的策略提供了实证支持。我们研究的方法可以扩展到比较不同实体(如不同国家或机构)之间的研究影响力。 临床相关性:被引频次指的是同行引用的研究工作,是研究影响力的指标之一。较高的被引频次意味着该研究工作被其他人阅读和使用,因此,了解与较高被引频次相关的因素至关重要。
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